The company is looking to build an AI Agentic Platform that enables enterprises and developers to build, deploy, and manage AI assistants that reason, plan, converse, and execute tasks autonomously. The platform needs to handle complex real-world AI problems and be highly scalable and enterprise-grade.
Requirements
- 10+ years of experience in software architecture and backend platform development, including at least 3+ years in AI/LLM-driven systems
- Deep experience in conversational AI systems (orchestration, stateful dialog, context tracking). Experience building autonomous agent ecosystems or multi-agent coordination frameworks.
- Expertise in agentic AI frameworks (LangChain, LangGraph, Autogen, CrewAI, etc.), reasoning/planning agents, and dialog management.
- Proven background in distributed systems, event-driven architecture, microservices, and API design
- Proficiency in Java, Python, plus experience integrating LLM APIs (OpenAI, Anthropic, etc.)
- Strong knowledge of enterprise SaaS architectures: multi-tenancy, RBAC, data governance, and observability
- Experience with workflow orchestration frameworks (Temporal, Airflow) and streaming/ event buses (Kafka, Pub/Sub)
Responsibilities
- Lead the end-to-end architecture of an AI Agentic Platform enabling multi-agent reasoning, orchestration, and real-time dialog management.
- Design a reasoning and planning engine that supports agent task decomposition, tool usage, and contextual decision-making.
- Architect conversation orchestration and dialog management systems for multi-turn, multi-modal interactions across channels (chat, voice, APIs).
- Define multi-agent coordination (A2A) protocols to support collaborative agents and dynamic role allocation.
- Establish agent lifecycle management (build, test, deploy, monitor) as a core platform capability.
- Evaluate and integrate LangChain, LangGraph, LangSmith, and similar frameworks into the platform.
- Define tool orchestration APIs and connectors for agents to interact with enterprise systems.
Other
- Serve as a thought leader, mentoring engineers and influencing platform architecture across backend, AI, and UI teams.
- Partner with product and engineering leadership to define the platform roadmap and technical priorities.
- Drive standards for reasoning agents, prompt management, testing, and reliability in production.
- Collaborate with Forward Deployment Engineers (FDEs) to incorporate real-world deployment feedback into the architecture.
- This is a hybrid role with onsite expectations of 3x/week (Tues-Thurs) from our San Mateo, CA HQ or Bellevue, WA office locations.
